Artificial intelligence is applied to many fields and contributes to many important applications and research areas, such as intelligent data processing, natural language processing, autonomous vehicles, and robots. The adoption of artificial intelligence in several fields has been the subject of many research papers. Still, recently, the space sector is a field where artificial intelligence is receiving significant attention. This paper aims to survey the most relevant problems in the field of space applications solved by artificial intelligence techniques. We focus on applications related to mission design, space exploration, and Earth observation, and we provide a taxonomy of the current challenges. Moreover, we present and discuss current solutions proposed for each challenge to allow researchers to identify and compare the state of the art in this context.

The facilitation of sharing and exchanging patients’ health records is a paramount opportunity in e-health, enabling healthcare providers to garner a comprehensive and clear perspective of patients’ medical histories without necessitating direct inquiries. Besides this great advantage, it introduces substantial issues on security and privacy, mainly related to unauthorized access to e-health records when different healthcare service providers maintain records. In this paper, we deal with this problem and propose using the blockchain technology (1) to obfuscate the linkage between patients’ identities and their e-health records and (2) to grant access to e-health records exclusively to entities authorized by patients themselves. Key outcomes include using a digital identity based on the Electronic Identification, Authentication, and Trust Services Regulation (eIDAS) to control access to these records, and a concrete implementation by adopting the Ethereum blockchain. Our solution relies on using a public blockchain, which is an improvement for the state of the art, in which only private or consortium blockchains have been proposed. The resulting solution has been analyzed, and the effectiveness and affordability of the proposal have been shown.

Over the past two years, the spread of COVID-19 has spurred the use of information and communication technologies (ICT) in aid of healthcare. The need to guarantee continuity to care has promoted research and industry activities aimed at developing solutions for the digitalization of the procedures to be performed to provide health services, even in emergency scenarios. Digital collection, transmission, and processing of health data represent the starting point for fulfilling this innovation process but also bring heterogeneous challenges. These motivations led to the elaboration of this work, which analyzes innovative and technological tools for the development of digital health (eHealth) through the collection of multisectoral literature, produced thanks to the cooperation of varied research groups, thus providing a multidisciplinary survey. Since digital health is expected to be one of the leading applications of the sixth-generation (6G) wireless cellular networks, this paper covers the related telecommunications aspects. Furthermore, the exploitation of artificial intelligence paradigms to elaborate massive amounts of biological data is examined. Given the extreme sensitivity of health data, this paper also investigates security and privacy issues. In particular, the main techniques and approaches to guarantee security properties (i.e., anonymity, responsibility, authentication, confidentiality, integrity, non-repudiation, and revocability) are studied. Applications involving innovative electromagnetic systems for healthcare and assisted living services are described to provide an example of an eHealth scenario leveraging ICT. Finally, the telemedicine-related regulations of the European Commission are analyzed, with particular reference to the General Data Protection Regulation (GDPR).

In many application domains, there is a need to ensure that users satisfy some requirements to use a service: for example, there is a minimum age to buy alcoholic beverages or to watch some videos on YouTube. In these situations, organizations typically collect more personal information than necessary to provide a better service. The consequence is a personal data leakage that violates the data minimization principle stated by the General Data Protection Regulation 2016/679. This article proposes a new approach for allowing individuals to maintain control over the disclosure of their data, deciding which information to disclose and for how long. Our approach is based on the use of social networks, and implementation on Facebook is presented to show that the proposed solution is effective, cheap, friendly, and simple to adopt.